Computational Auditory Scene Analysis Representational
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Computational Auditory Scene Analysis Representational
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Author : gj brown
language : en
Publisher:
Release Date : 1992
Computational Auditory Scene Analysis Representational written by gj brown and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.
Computational Auditory Scene Analysis
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Author : David F. Rosenthal
language : en
Publisher: CRC Press
Release Date : 2021-01-31
Computational Auditory Scene Analysis written by David F. Rosenthal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-31 with Technology & Engineering categories.
The interest of AI in problems related to understanding sounds has a rich history dating back to the ARPA Speech Understanding Project in the 1970s. While a great deal has been learned from this and subsequent speech understanding research, the goal of building systems that can understand general acoustic signals--continuous speech and/or non-speech sounds--from unconstrained environments is still unrealized. Instead, there are now systems that understand "clean" speech well in relatively noiseless laboratory environments, but that break down in more realistic, noisier environments. As seen in the "cocktail-party effect," humans and other mammals have the ability to selectively attend to sound from a particular source, even when it is mixed with other sounds. Computers also need to be able to decide which parts of a mixed acoustic signal are relevant to a particular purpose--which part should be interpreted as speech, and which should be interpreted as a door closing, an air conditioner humming, or another person interrupting. Observations such as these have led a number of researchers to conclude that research on speech understanding and on nonspeech understanding need to be united within a more general framework. Researchers have also begun trying to understand computational auditory frameworks as parts of larger perception systems whose purpose is to give a computer integrated information about the real world. Inspiration for this work ranges from research on how different sensors can be integrated to models of how humans' auditory apparatus works in concert with vision, proprioception, etc. Representing some of the most advanced work on computers understanding speech, this collection of papers covers the work being done to integrate speech and nonspeech understanding in computer systems.
Computational Auditory Scene Analysis
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Author : Guy Jason Brown
language : en
Publisher:
Release Date : 1992
Computational Auditory Scene Analysis written by Guy Jason Brown and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.
Computational Auditory Scene Analysis
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Author : Deliang Wang
language : en
Publisher: Wiley-IEEE Press
Release Date : 2006-09-29
Computational Auditory Scene Analysis written by Deliang Wang and has been published by Wiley-IEEE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-29 with Medical categories.
Provides a comprehensive and coherent account of the state of the art in CASA, in terms of the underlying principles, the algorithms and system architectures that are employed, and the potential applications of this exciting new technology.
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Author :
language : en
Publisher: IOS Press
Release Date :
written by and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Ijcai 97
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Author : International Joint Conferences on Artificial Intelligence
language : en
Publisher: Morgan Kaufmann
Release Date : 1997
Ijcai 97 written by International Joint Conferences on Artificial Intelligence and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Artificial intelligence categories.
Pricai 2000 Topics In Artificial Intelligence
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Author : 溝口理一郎
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-08-21
Pricai 2000 Topics In Artificial Intelligence written by 溝口理一郎 and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-08-21 with Computers categories.
This book constitutes the refereed procedings of the 6th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2000, held in Melbourne, Australia, August/September 2000. The 72 revised full papers presented together with 44 poster-abstracts were carefully reviewed and selected from a total of 207 submissions coming from 25 countries. The papers are organized in topical sections on logic and foundations, induction and logic programming, reinforcement learning, machine learning, knowledge discovery, Bayesian networks, beliefs and intentions in agents, autonomous agents, agent systems, genetic algorithms, genetic programming, constraint satisfaction, neural networks, Markov decision processes, robotics, image processing and pattern recognition, natural language, AI in web technology, intelligent systems, and AI and music.
Speech Enhancement
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Author : Jacob Benesty
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-30
Speech Enhancement written by Jacob Benesty and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-30 with Technology & Engineering categories.
A strong reference on the problem of signal and speech enhancement, describing the newest developments in this exciting field. The general emphasis is on noise reduction, because of the large number of applications that can benefit from this technology.
Speech Enhancement
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Author : Shoji Makino
language : en
Publisher: Springer Science & Business Media
Release Date : 2005
Speech Enhancement written by Shoji Makino and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Hearing categories.
We live in a noisy world! In all applications (telecommunications, hands-free communications, recording, human-machine interfaces, etc.) that require at least one microphone, the signal of interest is usually contaminated by noise and reverberation. As a result, the microphone signal has to be "cleaned" with digital signal processing tools before it is played out, transmitted, or stored. This book is about speech enhancement. Different well-known and state-of-the-art methods for noise reduction, with one or multiple microphones, are discussed. By speech enhancement, we mean not only noise reduction but also dereverberation and separation of independent signals. These topics are also covered in this book. However, the general emphasis is on noise reduction because of the large number of applications that can benefit from this technology. The goal of this book is to provide a strong reference for researchers, engineers, and graduate students who are interested in the problem of signal and speech enhancement. To do so, we invited well-known experts to contribute chapters covering the state of the art in this focused field. TOC:Introduction.- Study of the Wiener Filter for Noise Reduction.- Statistical Methods for the Enhancement of Noisy Speech.- Single- und Multi-Microphone Spectral Amplitude Estimation Using a Super-Gaussian Speech Model.- From Volatility Modeling of Financial Time-Series to Stochastic Modeling and Enhancement of Speech Signals.- Single-Microphone Noise Suppression for 3G Handsets Based on Weighted Noise Estimation.- Signal Subspace Techniques for Speech Enhancement.- Speech Enhancement: Application of the Kalman Filter in the Estimate-Maximize (EM) Framework.- Speech Distortion Weighted Multichannel Wiener Filtering Techniques for Noise Reduction.- Adpative Microphone Arrays Employing Spatial Quadratic Soft Constraints and Spectral Shaping.- Single-Microphone Blind Dereverberation.- Separation and Dereverberation of Speech Signals with Multiple Microphones.- Frequency-Domain Blind Source Separation.- Subband Based Blind Source Separation.- Real-Time Blind Source Separation for Moving Speech Signals.- Separation of Speech by Computational Auditory Scene Analysis
Signal Processing Methods For Music Transcription
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Author : Anssi Klapuri
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-02-26
Signal Processing Methods For Music Transcription written by Anssi Klapuri and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-02-26 with Technology & Engineering categories.
Signal Processing Methods for Music Transcription is the first book dedicated to uniting research related to signal processing algorithms and models for various aspects of music transcription such as pitch analysis, rhythm analysis, percussion transcription, source separation, instrument recognition, and music structure analysis. Following a clearly structured pattern, each chapter provides a comprehensive review of the existing methods for a certain subtopic while covering the most important state-of-the-art methods in detail. The concrete algorithms and formulas are clearly defined and can be easily implemented and tested. A number of approaches are covered, including, for example, statistical methods, perceptually-motivated methods, and unsupervised learning methods. The text is enhanced by a common reference and index.